Predicting the US Election 2016 with Cognitive Analytics

We used TEXTIENT Cognitive Analytics platform powered by IBM Watson to conduct three types of Cognitive Analysis to predict the 2016 US elections i.e. the winning possibility for Donald Trump and Hillary Clinton.

All our Analysis provided cues to Donald Trump having an edge over Hillary Clinton in winning the 2016 US election.

You can view the analysis details as below.,

1.The first analysis is based on modeling Trump and Clinton in the notion of a Brand by analysing the voice of the people on the respective Facebook pages of Trump and Clinton. The key formula or the secret sauce of this analysis approach is “The power of a Brand lies in what resides in the minds and hearts of the people” !

2. Thesecond analysis is based on the cognitive analysis of the Second and Third presidential debate speech transcripts of Donald Trump and Hillary Clinton. For this, we had applied the emotional and proprietary predictive methods. The key formula in this analysis approach is to decipher the winning possibilities by analysing specific cognitive orientation (rational, affective and psychological) of Trump and Clinton.

3. The third analysis which was done on 9, Nov 2016 between 11.30 AM to 1 PM IST is based on analyzing the news content (hundreds of sampled news content aggregated and analysed ). The reason why we didnot take the above two approach was based on the premise that given the juncture of election, its progress and the final phase of voting, the (global) news content is likely to indicate the winner with out an influence and bias. You can find the analysis details in the slideshare link given below